In Table REF , we explore the effects of increasing feature pyramid capacity to enhance the representation learned upon the frozen backbone features. Our results show that larger pyramid benefits standard detection (base categories) without compromising the open-vocabulary detection (novel categories). In Table REF , we study the influence of background weights by [1]}, [2]} on open-vocabulary detection and found it to help slightly (0.1 to 0.5 AP\(_r\) ). Please refer to Appendix  for the full experimental results.
